- Häftad (Paperback / softback)
- Antal sidor
- 1st ed. 2017
- Springer International Publishing AG
- Bibliographie 143 schwarz-weiße Abbildungen
- 1 Illustrations, color; 2 Illustrations, black and white; XXVII, 492 p. 3 illus., 1 illus. in color.
- Volume I
- 234 x 156 x 27 mm
- Antal komponenter
- 1 Paperback / softback
- 722 g
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Analytical Finance: Volume I
The Mathematics of Equity Derivatives, Markets, Risk and Valuation519Fåtal ex i lager. Skickas inom 1-2 vardagar.
Gratis frakt inom Sverige över 159 kr för privatpersoner.This book provides an introduction to the valuation of financial instruments on equity markets. Written from the perspective of trading, risk management and quantitative research functions and written by a practitioner with many years' experience in markets and in academia, it provides a valuable learning tool for students and new entrants to these markets. Coverage includes: *Trading and sources of risk, including credit and counterparty risk, market and model risks, settlement and Herstatt risks. *Numerical methods including discrete-time methods, finite different methods, binomial models and Monte Carlo simulations. *Probability theory and stochastic processes from the financial modeling perspective, including probability spaces, sigma algebras, measures and filtrations. *Continuous time models such as Black-Scholes-Merton; Delta-hedging and Delta-Gamma-hedging; general diffusion models and how to solve Partial Differential Equation using the Feynmann-Kac representation. *The trading, structuring and hedging several kinds of exotic options, including: Binary/Digital options; Barrier options; Lookbacks; Asian options; Chooses; Forward options; Ratchets; Compounded options; Basket options; Exchange and Currency-linked options; Pay later options and Quantos. *A detailed explanation of how to construct synthetic instruments and strategies for different market conditions, discussing more than 30 different option strategies. With source code for many of the models featured in the book provided and extensive examples and illustrations throughout, this book provides a comprehensive introduction to this topic and will prove an invaluable learning tool and reference for anyone studying or working in this field.
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Fler böcker av Jan R M Roeman
Jan R M Roeman
Analytical Finance is a comprehensive introduction to the financial engineering of equity and interest rate instruments for financial markets. Developed from notes from the author's many years in quantitative risk management and modeling roles, an...
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"The aim of this book is to cover the most essential elements of valuing derivatives on equity markets. ... The book may be used as a textbook for graduate students in mathematical and analytical finance, and also may be useful for practitioners working in this area of finance." (Anatoliy Swishchuk, zbMATH 1382.91001, 2018)
Jan Roeman is Senior Lecturer, Malardaran University, where he teaches analytical finance and financial engineering. He is also a financial engineer in the Quantitative Risk Modelling Group at Swedbank Robur Funds, where he specializes in risk model validation, focusing on all inputs to front office systems including interest rates and volatility structures. Jan has over 16 years financial markets experience mostly in financial modeling and valuation in derivatives environments. He has held positions as Head of Market and Credit Risk, Swedbank Markets, Senior Risk Analyst at the Swedish financial Supervisory Authority, Senior Developer at SunGard and Senior Developer, OMX Stockholm Exchange. He holds a License degree in Theoretical Physics from Chalmers University of Technology and has received a scholarship of the Nordic Minister Council to research at NORDITA, the Nordic Institute for Theoretical Physics.
1.1. Clearing and settlement.- 1.2. About Risk.- 1.3. Credit and Counterparty Risk.- 1.4. Settlement Risk.- 1.5. Market Risk.- 1.6. Model Risk.- 2.1. Pricing via Arbitrage.- 2.2. Martingales.- 2.3. The Central Limit Theorem.- 2.4. A simple Random Walk.- 2.5. The Binomial model.- 2.6. Modern pricing theory based on risk-neutral valuation.- 2.7. More on Binomial models.- 2.8. Finite difference methods.- 2.9. Value-at-Risk - VaR.- 3.1. Introduction.- 3.2. A binomial model.- 3.3. Finite Probability Spaces.- 3.4. Properties of normal and log-normal distributions.- 3.5. The Ito Lemma.- 3.6. Stochastic integration.- 4.1. Classifications of Partial Differential Equations.- 4.2. Parabolic PDE's.- 4.3. The Black-Scholes-Merton model.- 4.4. Volatility.- 4.5. Parity relations.- 4.6. A practical guide to pricing.- 4.7. Currency options and the Garman-Kohlhagen model.- 4.8. Options on commodities.- 4.9. Black-Scholes and stochastic volatility.- 4.10. The Black-Scholes formulas.- 4.11. American versus European options.- 4.12. Analytical pricing formulas for American options.- 4.13. Poisson processes and jump diffusion.- 5.1. Martingale representation.- 5.2. Girsanov transformation.- 5.3. Securities paying dividends.- 5.4. Hedging.- 6.1. Contract for Difference - CFD.- 6.2. Binary options/ Digital options.- 6.3. Barrier options - Knock-out and Knock-in Options.- 6.4. Lookback Options.- 6.5. Asian Options.- 6.6. Chooser Options.- 6.7. Forward Options.- 6.8. Compound Options - Options on Options.- 6.9. Multi-Asset Options.- 6.10. Basket Options.- 6.11. Correlation Options.- 6.12. Exchange Options.- 6.13. Currency-Linked Options.- 6.14. Pay-Later Options.- 6.15. Extensible Options.- 6.16. Quantos.- 6.17. Structured products.- 6.18. Summary of exotic instruments.- 6.19. Something about weather derivatives.- 7.1. Introduction to deflators.- 8.1. Introduction.- 8.2. Strategies.- 8.3. A decreasing markets.- 8.4. An increasing market.- 8.5. Neutral markets.- 8.6. Volatile Markets.- 8.7. Using market indexes in pricing.- 8.8. Price direction matrix.- 8.9. Strategy matrix.- Appendix: Some source code